Autonomous Skill Acquisition on a Mobile Manipulator

Author:

Konidaris George,Kuindersma Scott,Grupen Roderic,Barto Andrew

Abstract

We describe a robot system that autonomously acquires skills through interaction with its environment. The robot learns to sequence the execution of a set of innate controllers to solve a task, extracts and retains components of that solution as portable skills, and then transfers those skills to reduce the time required to learn to solve a second task.

Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

Subject

General Medicine

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. TWOSOME: An Efficient Online Framework to Align LLMs with Embodied Environments via Reinforcement Learning;International Journal of Artificial Intelligence and Robotics Research;2024-06

2. Cascaded Compositional Residual Learning for Complex Interactive Behaviors;IEEE Robotics and Automation Letters;2023-08

3. Learning positioning policies for mobile manipulation operations with deep reinforcement learning;International Journal of Machine Learning and Cybernetics;2023-03-17

4. Learning Human Actions Semantics in Virtual Reality for a Better Human-Robot Collaboration;2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN);2022-08-29

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